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- Competition, Culture and Consumer PreferenceJapan's cultural characteristics and government policies are the reasons why the efficiency of the Japanese food production industry is only 32% of the efficiency of food production in the United States. Cultural traits are evident in the Japanese keenness to consume the freshest food possible. In Japan, a milk package has three dates on it: the manufacture date, the date it reaches the supermarket, and the expiration date. Milk production in Japan starts one minute past midnight, so milk that arrives at the market in the morning can be labeled as today's milk. If the milk is bottled at 11:59 p.m., no Japanese consumer will buy it, because it is considered the previous day's milk. Result; As a result, a milk producer in northern Japan cannot compete with a producer in southern Japan because delays in shipping add another day to the date on the package, meaning that milk cannot be sold.These local monopolies arising from Japanese cultural…Marcic Textile Inc. manufactures customized cloth and textile from generic parts. Formed and operated by part-time students Marc and Eric, the company has had steady growth since it started. The company manufactures cloth mostly at night, using part-time students. The company purchases generic threads and fabric in volume at a discount from a variety of sources whenever they see a good deal. Thus, they need a good forecast so that they will know how many fabrics to purchase and stock. For the past 10 months, there had been unstable sales of cloth. During the first month of operations, sales were 890 yards, and there had been a steady growth of 5% per month for the next 3 months. However, after that, sales went down by 10% and continued the declining trend for the next 2 months. On the 7th month, sales were stabilized at 955 yards until the 10thmonth of operations. For every yard of cloth manufactured it needs 2 fiber A, 3 fiber B and 7 fiber C. Forecast for fiber A is based directly on…please answer within 30 minutes.
- b. The following table shows the number of televisions sold over the last ten years at a local electronic store. YEAR 1 2 3 4 5 6 TV SALES 150 300 480 600 630 640 700 825 900 980 7 8 9 10 i. Using trend projection, develop a formula to predict sales for years 11 and 12. You have to show all working. You will need to develop a table to calculate the slope and the intercept. ii. Use that formula to forecast television sales for years 11 and 12.The Tech power plant burns coal and natural gas to generate steam and electricity for all campus buildings. The annual coal consumption at the plant has increased annually for the past 6 years due to an aggressive campus building program. The following table shows the annual coal consumption: Year Coal Consumption (tons) 1 25000 2 23000 3 28000 4 35000 5 37000 6 42000 Develop a linear trend model to forecast coal consumption for the 7 th year. Don't answer by pen paper and don't use chatgpt otherwise we will give dounvote10. What is the impact of specific dollar amount of dividend on the binomial tree? What is (are) disadvantage(s) of resulting tree. How do you get around this problem.
- 4 .Substitute for Problem # 4 on in attachment)-Calculate the MAD,revised MAD and the Revised Forecast for months 1-6 for the following three groups,where the Forecast stands for Forecast Demand.Has your forecast improved ? Tell me how would you go about improving the revised forecast( for each of the three groups)without actually doing so? Estate Planning Group Auditing and Accounting Group Business Consulting Group Month Actual Demand Forecast Actual Demand Forecast Actual Demand Forecast 1 100 125 270 230 140 135 2 90 125 240 230 130 135 3 110 125 280 230 160 135 4 115 125 260 230 180 135 5 130 125 300 230 200 135 6 115 125 220 230 190 135Please help with correct answers in details: Step by step Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Week Sales (1,000sof gallons) 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 (a) Compute four-week and five-week moving averages for the time series. Week Time SeriesValue 4-WeekMovingAverageForecast 5-WeekMovingAverageForecast 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 b) Compute the MSE for the four-week moving average forecasts. (Round your answer to two decimal places.) c) Compute the MSE for the five-week moving average forecasts. (Round your answer to two decimal places.) d) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? MSE for the three-week moving average is 9.65.…Havells Lighting makes special lights that are popular in new homes. Havells expects demand for two popular lights to be the following over the next eight weeks. W-1 W-2 W-3 W4 W-5 W-6 W-7 W-8 SW E27 34 37 41 45 48 48 48 48 7W E27 104 134 144 155 134 140 141 145 A key component in both lights is a socket that the bulb is screwed into the base fixture. Each light has one of these sockets. Given the following information, plan the production of the lights and purchases of the socket. SW E27 7W E27 LIGHT SOCKET ON HAND 85 358 425 200(PRODUCTION LOT 400(PRODUCTION LOT SO0PURCHASE QTY) SZE) 1WEEK OUNITS SIZE) IWEEK OUNITS 3WEEKS 20UNITS LEAD TIME SAFETY STOCK
- Answer D and E pleaseThe observed demand from the four quarters of Year 1 can also be used to developinitial deseasonalized forecast estimates that are required to start making forecasts withthe exponential smoothing models. The first real forecast will be for Q1 of Year 2, andthe use of simple exponential smoothing requires an estimated deseasonalized forecastfrom Q4 of Year 1 to use as a starting point. The estimated deseasonalized “forecast” forQ4 of Year 1 should be obtained as the average deseasonalized quarterly demand fromYear 1. The estimate can also be used as the starting base forecast component for Q4 ofYear 1 for trend-adjusted exponential smoothing. The initial deseasonalized trendcomponent estimate for Q4 of Year 1 should be assumed to be zero.The actual number of patients at Providence Emergency Medical Clinic for the first six weeks of this year follows: The value of the forecast is Week Actual No. of Patients 45 49 IT 56 40 44 55 Clinic administrator Dana Schniederjans wants you to forecast patient numbers at the clinic for week 7 by using this data. You decide to use a weighted moving average method to find this forecast. Your method uses four actual demand levels, with weights of 0.333 on the present period, 0.250 one period ago, 0.250 two periods ago, and 0.167 three periods ago. a) What is the value of your forecast? patients (round your response to two decimal places). 123456